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All Journal SEPREN: Journal of Mathematics Education and Applied Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan
Manalu, Sofy Kristiani
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Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Education Environmental Science Immunology & microbiology Mathematics Physics Social Sciences Other

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Prediction Model Graduation Student with Naive Bayes Algorithm Simbolon, Lolyta Damora; Sinaga, Rani Farida; Pangaribuan, Lena Rosdiana; Manalu, Sofy Kristiani
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 6 No. 1 (2026): January
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v6i1.876

Abstract

One of indicator important in evaluation quality something college tall is level graduation students. Graduation rate appropriate time students become a reflection from the quality of the learning process which ultimately also influences accreditation institutions or study program. The purpose of this research is to analyze how to increase student graduation rates and reduce dropout rates through more accurate and effective data-based policy recommendations. There are Lots factor affecting graduation student so that need determined factors significant influence level graduation said. With do analysis to data and predictions graduation students, institutions expected can give appropriate intervention for increase level graduates and identify at-risk students experience late graduation. In research this using the Naïve Bayes method for predict graduation student based on various factors. The data used in study this is the data obtained from students of the Mathematics Education Study Program, Faculty of Teacher Training and Education, HKBP Nommensen University. The results of study this show accuracy 80%, precision 88.24%, and recall 88.24%.
Analysis of Critical Thinking Skills in Decision Making with R Project in Mathematical Statistics Course Sinaga, Rani Farida; Simbolon, Lolyta Damora; Manik, Efron; Manalu, Sofy Kristiani
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 6 No. 1 (2026): January
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v6i1.1122

Abstract

This study aims to analyze how the use of R Project Software in mathematical statistics courses can contribute to improving students' critical thinking skills, especially in the context of data-based decision making. Indicators of critical thinking in decision making with R Project: 1) interpretation (can write what is known and asked in the question clearly or identify the problem correctly); 2) analysis (can write what must be done in solving the problem); 3) inference (can draw conclusions from what is asked logically and visualize the results); 4) evaluation (can write down the solution to the problem and build a model to evaluate alternatives); and 5) explanation (can provide reasons for the conclusions drawn). The research method uses a descriptive quantitative approach. This research has a population of 80 students with a sample size of 40 students using non-probability sampling with the purposive sampling technique. By using a significance level of 5% and a df value of nk = 40 - 2 = 38, the ttable value is 1.686. The tcount value of 3.383 exceeds the ttable value of 1.686, indicating that the null hypothesis is rejected at a 95% confidence level. And, keep the abstract concise by stating only the conclusion of the statistical test (significant positive effect). Thus, R Project can be recommended as a natural analysis tool for learning mathematical statistics.
Pengaruh Penggunaan ChatGPT Terhadap Literasi Matematis Siswa dan Pemecahan Masalah Fungsi Kuadrat Di Kelas X SMA Swasta GKPI Padang Bulan Medan T.A 2025/2026 manalu, sofy kristiani
Sepren Vol 7 No 02 (2026): Edisi Mei 2026
Publisher : Prodi Pendidikan Matematika FKIP Universitas HKBP Nommensen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/sepren.v7i02.2439

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan ChatGPT terhadap literasi matematis dan kemampuan pemecahan masalah siswa pada materi fungsi kuadrat di kelas X SMA Swasta GKPI Padang Bulan Medan T.A 2025/2026. Penelitian ini menggunakan pendekatan kuantitatif dengan desain quasi eksperimen posttest only control group design. Populasi penelitian yaitu seluruh peserta didik kelas X, dengan sampel berupa kelas eksperimen dan kelas kontrol yang dipilih menggunakan teknik total sampling. Kelas eksperimen memperoleh pembelajaran berbantuan ChatGPT, sedangkan kelas kontrol menggunakan pembelajaran konvensional. Instrumen penelitian berupa tes literasi matematis dan tes kemampuan pemecahan masalah. Data dianalisis menggunakan statistik deskriptif dan Uji t pada taraf signifikansi 0,05, setelah memenuhi asumsi normalitas dan homogenitas. Hasil penelitian menunjukkan terdapat perbedaan signifikan antara kemampuan literasi matematis siswa dengan nilai signifikansi 0,001 < 0,05 dan 0,007 < 0,05 antara kelas eksperimen dan kelas kontrol. Dengan demikian dapat disimpulkan bahwa penggunaan ChatGPT berpengaruh secara signifikan terhadap kemampuan literasi matematis dan kemampuan pemecahan masalah siswa.
Co-Authors Lena Rosdiana Pangaribuan Manik, Efron Rani Farida Sinaga Simbolon, Lolyta Damora